Emotional Information Space in Designing AI Technologies
Silvennoinen, J., & Saariluoma, P. (2022). Emotional Information Space in Designing AI Technologies. In T. Ahram, W. Karwowski, P. Di Bucchianico, R. Taiar, L. Casarotto, & P. Costa (Eds.), Intelligent Human Systems Integration (IHSI 2022) : Integrating People and Intelligent Systems. Proceedings of the 5th International Conference on Intelligent Human Systems Integration. AHFE international. AHFE international, 22/2022. https://doi.org/10.54941/ahfe1001057
Julkaistu sarjassa
AHFE internationalToimittajat
Päivämäärä
2022Oppiaine
KognitiotiedeKoulutusteknologia ja kognitiotiedeMultiobjective Optimization GroupResurssiviisausyhteisöCognitive ScienceLearning and Cognitive SciencesMultiobjective Optimization GroupSchool of Resource WisdomTekijänoikeudet
© 2022 the Authors
Current and future AI design needs to recognize the intertwined nature of cognition and affect to design more human-like intelligent systems. The majority of current AI design focuses on cognitive information processes and knowledge. However, human action and human-like actions must also consider the emotional aspects of the environment. We present the concept of emotional information space, which incorporates all issues within a certain environment with cognitively appraised affective meanings and the ability to encode these information contents into designing emotionally intelligent technologies.
Julkaisija
AHFE internationalEmojulkaisun ISBN
978-1-7923-8988-7Konferenssi
International Conference on Intelligent Human Systems Integration, IHSIKuuluu julkaisuun
Intelligent Human Systems Integration (IHSI 2022) : Integrating People and Intelligent Systems. Proceedings of the 5th International Conference on Intelligent Human Systems IntegrationISSN Hae Julkaisufoorumista
2771-0718Asiasanat
Julkaisu tutkimustietojärjestelmässä
https://converis.jyu.fi/converis/portal/detail/Publication/119016865
Metadata
Näytä kaikki kuvailutiedotKokoelmat
Rahoittaja(t)
Suomen AkatemiaRahoitusohjelmat(t)
Strategisen tutkimuksen ohjelmat STN, SALisätietoja rahoituksesta
This work has been supported by The Academy of Finland through STN Etairos -project.Lisenssi
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